Optiscan Imaging Ltd’s Post

Read about how Perimeter Medical Imaging AI is using AI to help surgeons remove all breast cancerous cells on the first surgery. #AI #healthcareinnovations

🔍 Revisiting a Pivotal Study in Rectal Cancer Treatment 🔍 Meta-analysis "Comparison of Survival Among Adults With Rectal Cancer Who Have Undergone Laparoscopic vs Open Surgery" remains a cornerstone in our understanding of cancer surgery outcomes. Authored by Meng Kong, Hongyuan Chen, Keshu Shan, Hongguang Sheng, and Leping Li, this study provides invaluable insights into the long-term benefits of laparoscopic surgery for rectal cancer patients. 📈 Highlight: The study found a significantly better overall survival rate for laparoscopic surgery compared to open surgery, challenging previous concerns and advocating for its routine use. 🎓 Earn 1.0 CME Credit: This analysis not only advances our knowledge but also offers CME credits for healthcare professionals seeking to deepen their expertise. 💡 Let's reflect on how these findings continue to influence surgical choices and patient care strategies in oncology. https://lnkd.in/dXcN_CUU #MedicalEducation #CME #Oncology #RectalCancer #LaparoscopicSurgery #HealthcareProfessionals

Our peer-reviewed publication on the novel use of wide-field OCT and AI as a one-two combo punch to tackle breast cancer surgical oncology margins is out! You can read the details in the paper but the key statistics is 97% pathology positive margin identification while achieving 93% sensitivity and 98% specificity. Compare this number to the published results revealing 21.1% and 14.9% reoperation rates among commercially insured patients and the Medicare cohort (bit.ly/3wwMkp1). Many thanks to my co-authors Yanir Levy, David Rempel, Mark Nguyen, Ali Yassine, Maggie Sanati-Burns, Dr Payal Salgia, Bryant Lim, Sarah Butler, PhD, and Andrew Berkeley. Perimeter Medical Imaging AI, #AI, #OCT #breastcancer #margin #oncology #surgical

The development of an AI model to enhance tumor removal accuracy during breast cancer surgery is a significant advancement in the field of oncology. The AI model can assist surgeons in accurately identifying and removing tumors, potentially reducing the risk of leaving cancerous tissue behind. By providing real-time guidance during surgery, the AI model may contribute to improved decision-making and surgical outcomes. Tailoring the surgery to individual patient needs based on AI analysis may lead to more personalized and effective treatments. The use of AI can potentially streamline the surgical process, saving time and resources. It's important to note that the success and adoption of such AI models would depend on rigorous testing, validation, and integration into standard medical practices.

New published paper! This peer-reviewed study highlights the potential for #AI and wide-field (WF) OCT in breast cancer surgery to enhance productivity and decision making in surgical margin assessment, decreasing reoperation rates due to residual cancer. The results suggest the investigational* deep learning model accurately identified 96.8% of pathology positive margins in WF-OCT images with high sensitivity and specificity. Read it at https://lnkd.in/dmxWFTCM. #artificialintelligence #AI #deeplearning #healthcareinnovation #breastcancer -- *CAUTION. Investigational Device. Subject to U.S. Law. Not available for sale in the United States.

🚨 A revolutionary fluorescent light system has just been approved for use in breast cancer surgeries. This innovative technology illuminates any remaining cancerous tissue in real-time, aiming to drastically reduce the need for follow-up surgeries. Statistics reveal that currently, one-third of patients undergo a second surgery, of which two-thirds do not show any residual cancer. This new system promises to enhance surgical precision and patient outcomes dramatically. #HealthTech #CancerCare #Innovation

🚀 Newly published randomized trial demonstrates outcomes benefits of using Ceevra 3D models in prostatectomy🚀 In a multisite, prospective, randomized controlled trial recently published in JAMA Network Open, Ceevra, Inc. 3D digital models were shown to result in improve outcomes for patients undergoing prostate cancer surgery. Sites participating in the study included: Mayo Clinic, Mount Sinai Health System UCLA, UC Irvine, Swedish Medical Center, and UNC Health. 🔍 Key findings: Patients whose surgeon was equipped with a Ceevra 3D model arm had: Improved oncologic outcomes (measured by detectable PSA) Improved return to sexual function (measured by SHIM score) Trifecta outcomes rates that were nearly 5X those of the control arm (mpMRI only) At Ceevra, we are excited to continue driving progress in robotic surgery by providing cutting-edge 3D solutions that enhance both clinical and functional outcomes. Read the press release here: https://hubs.li/Q02QZpcr0 Full study here: https://hubs.li/Q02QZyj70 #Ceevra #3DImaging #RoboticSurgery #Prostatectomy #RALP #PatientCare #MedicalInnovation

📃Scientific paper: The effect of surgery report cards on improving radical prostatectomy quality: the SuRep study protocol Abstract: Background The goal of radical prostatectomy is to achieve the optimal balance between complete cancer removal and preserving a patient’s urinary and sexual function. Performing a wider excision of peri-prostatic tissue helps achieve negative surgical margins, but can compromise urinary and sexual function. Alternatively, sparing peri-prostatic tissue to maintain functional outcomes may result in an increased risk of cancer recurrence. The objective of this study is to determine the effect of providing surgeons with detailed information about their patient outcomes through a surgical report card. Methods We propose a prospective cohort quasi-experimental study. The intervention is the provision of feedback to prostate cancer surgeons via surgical report cards. These report cards will be distributed every 3 months by email and will present surgeons with detailed information, including urinary function, erectile function, and surgical margin outcomes of their patients compared to patients treated by other de-identified surgeons in the study. For the first 12 months of the study, pre-operative, 6-month, and 12-month patient data will be collected but there will be no report cards distributed to surgeons. This will form the pre-feedback cohort. After the pre-feedback cohort has completed accrual, surgeons will receive quarterly report cards. Patients treated after the provision of report cards will comprise the post-feedback cohort. The primary comparison will be pos... Continued on ES/IODE ➡️ https://etcse.fr/e0i2a ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

📃Scientific paper: Development and evaluation of a Japanese prediction model for low anterior resection syndrome after rectal cancer surgery Abstract: BACKGROUND: Low anterior resection syndrome (LARS) is the most common complication after rectal cancer resection. We aimed to identify LARS' predictive factors and construct and evaluate a predictive model for LARS. METHODS: This retrospective study included patients with rectal cancer more than 1 year after laparoscopic or robotic-assisted surgery. We administered a questionnaire to evaluate the degree of LARS. In addition, we examined clinical characteristics with univariate and multivariate analysis to identify predictive factors for major LARS. Finally, we divided the obtained data into a learning set and a validation set. We constructed a predictive model for major LARS using the learning set and assessed the predictive accuracy of the validation set. RESULTS: We reviewed 160 patients with rectal cancer and divided them into a learning set (n = 115) and a validation set (n = 45). Univariate and multivariate analyses in the learning set showed that male (odds ratio [OR]: 2.88, 95% confidence interval [95%CI] 1.11–8.09, p = 0.03), age < 75 years (OR: 5.87, 95%CI 1.14–47.25, p = 0.03) and tumors located < 8.5 cm from the AV (OR: 7.20, 95%CI 2.86–19.49, p < 0.01) were significantly related to major LARS. A prediction model based on the patients in the learning set was well-calibrated. CONCLUSIONS: We found that sex, age, and tumor location were independent predictors of major LARS in Japanese patients that underwent rectal cancer surgery. Our predictive model fo... Continued on ES/IODE ➡️ https://etcse.fr/uV72 ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

Doctors At Apollo Cancer Centre Perform Minimally Invasive Robotic Surgery On Patient With Pseudomyxoma Peritonei In a major medical breakthrough, surgical oncologists at Apollo Cancer Centres (ACC) has successfully performed India's first Robotic Cytoreductive Surgery (CRS) with Hyperthermic Intraperitoneal Chemotherapy (HIPEC) for a peritoneal surface cancer. This minimally invasive, robotic-assisted approach marks a paradigm shift in treating Pseudomyxoma Peritonei (PMP), an aggressive appendix cancer, offering patients with a new standard of care, enabling faster recovery and improved quality of life. Dr. Ajit Pai, Senior Consultant in Surgical Oncology and Robotic Surgery, Apollo Cancer Centre, Chennai along with his team, spearheaded this first-of-its-kind approach. The collaborative clinical expertise and unwavering dedication to transformative tech innovations at ACC, were instrumental in achieving this remarkable success. A female patient, aged 51, was diagnosed with bilateral ovarian masses, and had extensive surgical intervention, including the removal of the uterus, ovaries, appendix, and part of the omentum. Subsequent histopathological examination revealed a high-grade mucinous tumour of the appendix with pseudomyxoma peritonei (PMP), necessitating additional surgery. The patient was found to have residual mucinous implants (gelatinous deposits that remain in the abdomen post-surgery for appendicular mucinous tumors) in the pelvis and around the cecum (first part of the colon). #roboticsurgery #PseudomyxomaPeritonei #cancer #appendixcancer #doctors #ApolloCancerCentre #RoboticCytoreductiveSurgery #HyperthermicIntraperitonealChemotherapy